When should you use Python’s built-in data types, and when should you develop your own? In this video course, George Heineman introduces Python programmers to several important data structures and demonstrates their use with example algorithms. Generic data structures such as arrays, linked lists, and stacks can solve many problems, but to work through some specialized problems, you need to learn different ways to structure data appropriately.
In this project-based Data Visualization in R With ggplot2 video tutorial series, you'll quickly have relevant skills for real-world applications.
Applied Data Analysis using Multivariate Analysis of Variance (MANOVA)
Applied data analysis in SPSS, covering the one-way ANOVA, two-way ANOVA (main effects and interaction), and more!
Learn how to use SPSS to analyze and interpret t tests, ANOVA, correlation, regression and chi-square statistical tests.